The role of particle composition on the association between PM2.5 and mortality.
The role of particle composition on the association between PM2.5 and mortality.
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DOI：
10.1097/ede.0b013e3181812bb7
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发表时间：
2008-09
期刊：
影响因子：
--
通讯作者：
Schwartz P
中科院分区：
文献类型：
--
作者：
Franklin M;Koutrakis P;Schwartz P
虽然暴露于颗粒物（PM）质量和死亡率之间的关联已经得到了很好的建立，但仍然不确定PM的哪些化学成分对人类健康最有害。一个分层的方法被用来确定每天的PM2.5质量和死亡率之间的关联是如何修改的PM2.5组成在25个美国社区。首先，每天的PM2.5和死亡率之间的关联，确定每个社区和季节使用泊松回归。其次，我们使用元回归来研究如何修改社区和特定季节的颗粒组成的合并关联。PM2.5两日平均质量浓度每增加10 μg/m3，非意外死亡人数增加0.74%（95%可信区间= 0.41%~ 1.07%）。这种关联在西部（0.51% [0.10%- 0.92%]）小于东部（0.92% [0.23%-1.36%]），并且在春季（1.88% [0.23%-1.36%]）最高。当PM2.5质量中含有较高比例的铝（四分位距= 0.58%），砷（0.55%），硫酸盐（0.51%），硅（0.41%）和镍（0.37%）时，它会增加。铝、硫酸盐和镍的组合也改变了效果。这些物种比例解释了社区特定PM2.5质量效应估计值之间的剩余变异性。这项研究表明，某些化学物质改变了PM2.5和死亡率之间的关联，并说明在评估PM暴露对健康的影响时，仅质量并不足以衡量。
Although the association between exposure to particulate matter (PM) mass and mortality is well established, there remains uncertainty about which chemical components of PM are most harmful to human health. A hierarchical approach was used to determine how the association between daily PM2.5 mass and mortality was modified by PM2.5 composition in 25 US communities. First, the association between daily PM2.5 and mortality was determined for each community and season using Poisson regression. Second, we used meta-regression to examine how the pooled association was modified by community and season-specific particle composition. There was a 0.74% (95% confidence interval = 0.41%–1.07%) increase in nonaccidental deaths associated with a 10 μg/m3 increase in 2-day averaged PM2.5 mass concentration. This association was smaller in the west (0.51% [0.10%– 0.92%]) than in the east (0.92% [0.23%–1.36%]), and was highest in spring (1.88% [0.23%–1.36%]). It was increased when PM2.5 mass contained a higher proportion of aluminum (interquartile range = 0.58%), arsenic (0.55%), sulfate (0.51%), silicon (0.41%), and nickel (0.37%). The combination of aluminum, sulfate, and nickel also modified the effect. These species proportions explained residual variability between the community-specific PM2.5 mass effect estimates. This study shows that certain chemical species modify the association between PM2.5 and mortality and illustrates that mass alone is not a sufficient metric when evaluating health effects of PM exposure.
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影响因子：
10.4
作者：
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DOI：
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发表时间：
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期刊：
CONTROLLED CLINICAL TRIALS
影响因子：
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作者：
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通讯作者：
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